NOMA-based vehicle edge computing network optimization method and system, medium and application
An edge computing and network optimization technology, applied in the field of communication, can solve the problems of long task processing delay and high energy consumption, and achieve the effect of reducing cost consumption, improving performance and reducing total cost
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Embodiment 1
[0085] The present invention proposes a collaborative optimization unloading decision-making, user clustering, power control, and computing resource block allocation method in a vehicle edge computing system based on non-orthogonal multiple access. Under the condition of ensuring the QoS requirements of user task processing delay, To minimize the total economic cost of the user.
[0086] The specific idea of the present invention to achieve the above purpose is: aiming at the mixed integer nonlinear characteristics of the problem, first decompose the problem into sub-problems, and then propose a low-complexity heuristic algorithm to sequentially optimize unloading decision, user clustering, power control and Compute resource allocation.
[0087] 1. The user unloading decision, user clustering and power allocation method in the non-orthogonal multiple access-based vehicle edge computing system adopted by the present invention comprises the following steps:
[0088] Step 1: I...
Embodiment 2
[0114] image 3 is a scene graph to which the method of the present invention is applicable. A single-lane highway is covered by several APs (AccessPoints) and the coverage of each AP is D g , an edge computing server is deployed on each AP. Considering a specific AP, within its coverage area, N vehicle users are randomly distributed, and the initial position of each vehicle is recorded as (unit: m), all vehicles travel at a constant speed v (unit: m / s). The set of all users is denoted as Each user n has a computationally intensive intelligent application, denoted as where D n Indicates the amount of input data of the task, and its unit is bit; C n Indicates the amount of tasks, that is, the number of CPU cycles required to complete the task, and its unit is CPUcycles; O n Indicates the amount of data output after the task is executed, and its unit is bit; Indicates the maximum tolerable delay to successfully execute the task, and its unit is s. All vehicles have ...
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